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Model matching level control for a coupled tanks system using time-scale separation technique

  • Novosibirsk State Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The problem of a level control system design for a specific connection of two tanks is discussed. We compare two algorithms for the first tank: a nonlinear feedback linearization algorthm and one based on a time-scale separation. The second technique leads to a PI controller for the level control in the first tank and either a single loop PID or a cascade of P/PI controllers for the level control in the second tank. A design methodology based on the time-scale separation technique is proposed in which controller parameters are selected such that fast and slow modes are induced in the closed-loop system. Hence, the singular perturbations method is used to analyze the closed-loop system properties. A particular feature of the considered two tanks connection is that its high frequency gain tends to infinity when the system attains equilibrium. Therefore, the fast-motion transients are analyzed based on Popov absolute stability criterion in presence of a sector-like condition in control. Numerical simulations confirm robustness with regard to plant parameters and external disturbances.

Original languageEnglish
Title of host publication2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages537-542
Number of pages6
ISBN (Electronic)9781538624029
DOIs
Publication statusPublished - 19 Sept 2017
Event22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017 - Miedzyzdroje, Poland
Duration: 28 Aug 2017 → 31 Aug 2017

Publication series

Name2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017

Conference

Conference22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017
Country/TerritoryPoland
CityMiedzyzdroje
Period28/08/17 → 31/08/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Modeling and Simulation

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